Machine Learning Engineer

Manulife
Boston, MA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$90,160.0 - $167,440.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Batch Processing Continuous Delivery Continuous Integration Distributed Computing Environment Github Information Sciences Python (Programming Language) PostgreSQL Machine Learning
+18 more
MongoDB NoSQL Tensorflow SQL Databases Load Balancing Data Ingestion Pytorch Flask (Web Framework) Backend Fastapi Containerization Information Technology Enterprise Integration Machine Learning Operations Teamcity Data Pipelines Docker Microservices

Job description

  • Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems;
  • Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows;
  • Deploy, monitor, and maintain machine learning pipelines and backend services in production environments;
  • Conduct root-cause analysis of data, model, and pipeline issues and implement corrective solutions;
  • Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions; and
  • Support production releases and large-scale batch processing of underwriting workflows.

Requirements

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads.

Experience must include the following, which may be gained concurrently:

  • 3 years of experience using SQL or NoSQL databases including PostgreSQL or MongoDB for data modeling, querying, or pipeline integration.
  • 3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow.
  • 3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask.
  • 2 years of experience deploying ML workflows or backend services using AWS or Azure.
  • 2 years of experience using containerization and orchestration tools including Docker and Kubernetes.
  • 2 years of experience using GitHub Actions or TeamCity for Continuous Integration/ Continuous Deployment (CI/CD).
  • 2 years of experience designing distributed or scalable systems including microservices, load balancing or distributed processing.

Benefits & conditions

Salary: $162,198 per year, Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

About the company

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

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